Anurag sarkar

When I was in Munich during the summer, the founder of the minimalist phone app was interviewed for a podcast, he mentioned that the entire team consists of only senior people (he also added that he checks the outputs after AI, because he doesn't trust it 100%).

The point is I also see fewer junior positions in companies' career search engines.

The growth example hits home because AI is terrifyingly good at agreeing with whatever hypothesis you feed it.

If your starting prompt is biased, the tool will just find data to make you feel smart about a wrong decision.

True collaboration only happens when you force the model to look for counter-arguments or blind spots you missed. Have you found a reliable way to get AI to challenge your strategy instead of just echoing your thoughts back to you?

One workflow in my app can take about a minute on the first run because it reads several pages before producing a report. The work is happening, but a spinner makes it feel frozen.

I added clear progress stages and cached repeat runs. That helped, but the first run is still slow.

If your product has a long-running AI or research task, what helped users feel comfortable waiting? Did clearer progress make a difference, or did you have to redesign the task?